The Role of Perceived Ease of Use and Customer Engagement In Influencing Behavioural Intention to Use Traveloka Paylater

Evelyne Austine Sugandi, Sabilla Saberina, Aggi Panigoro Sarifiyono

Abstract


The objective of this study were to find out the role of perceived ease of use and customer engagement in influencing behavioural intention to use Traveloka Paylater. Based on the increasing number of paylater services users in Indonesia, as well as the lack of behavioural intention to use Traveloka Paylater as the service from Traveloka, which incidentally is the number one online travel and lifestyle superapp in Indonesia. In this study, data were collected through the online questionnaire distribution to the respondents. The population in this study were users of Traveloka as seen from the number of users who gave ratings on PlayStore. The number of sampels taken based on calculations using Isaac and Michael formulas with a total sample are 271 (two hundred seventy one) respondents. The research method that used in this study is an associative quantitative method with a descriptive and verification approach. The result of the questionnaire distribution were analyzed by multiple regression analysis, coefficient of determination, t-test and F-test. The result of this study showed that: (1) perceived ease of use has a partial influence on behavioural intention to use Traveloka Paylate by 0,536 or 53%r. (2) customer engagement has a partial influence on behavioural intention to use Traveloka Paylater by 0,573 or 57,3%. (3) perceived ease of use and customer engagement has a stimultaneous on behavioural intention to use Traveloka Paylater by 0,680 or 68%.

Keywords


lifestyle superapp; buy now pay later; behavioural intention; ease of use; engagement

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References


Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS quarterly, 319-340.

Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management science, 35(8), 982-1003.

Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intention, and behavior: An introduction to theory and research, Reading, MA: Addison-Wesley.

Hidayah, N. A., Putri, R. N., Musa, K. F., Nihayah, Z., & Muin, A. (2020). Analysis using the technology acceptance model (TAM) and DeLone & McLean information system (D&M IS) success model of AIS mobile user acceptance. In 2020 8th International Conference on Cyber and IT Service Management (CITSM) (pp. 1-4). IEEE.

Kottler, P., & Keller, K. L. (2009). Marketing management. Jakarta: Erlangga. Lin, J. C. C., & Lu, H. (2000). Towards an understanding of the behavioural intention to use a web site. International journal of information management, 20(3), 197-208.

Li, N., & Zhang, P. (2002). Consumer online shopping attitudes and behavior: An assessment of research. AMCIS 2002 proceedings, 74.

Mutaufiq, A., El Hasan, S. S., Herawati, E., Utarinda, D., & Wijandari, A. (2022). The Influence of Service Quality and Current Account Customer Trust on the Decision to Save Funds at PT. Bank Central Asia Tbk Bekasi Main Branch Office. Kontigensi: Jurnal Ilmiah Manajemen, 10(2), 371-382.

O'brien, J. A., & Marakas, G. M. (2006). Management information systems (Vol. 6). McGraw-Hill Irwin.

Rauniar, R., Rawski, G., Yang, J., & Johnson, B. (2014). Technology acceptance model (TAM) and social media usage: an empirical study on Facebook. Journal of Enterprise Information Management.

Rohwiyati, R., & Praptiestrini, P. (2019). The effect of shopee e-service quality and price perception on repurchase intention: Customer satisfaction as mediation variable. Indonesian Journal of Contemporary Management Research, 1(1), 47-54.

So, K. K. F., King, C., & Sparks, B. (2014). Customer engagement with tourism brands: Scale development and validation. Journal of Hospitality & Tourism Research, 38(3), 304-329.

Velnampy, T., & Sivesan, S. (2012). Determinants of Customer Relationship Marketing of Mobile Services Providers in Sri Lanka: An application of Exploratory Factor Analysis.

Virginia, C., & Nawangwulan, I. (2017). The Impact of Customer Value, E-Service Quality and Customer Trust Towards Repurchase Intention Behavior on Online Travel Agency (in Case Study: Tiket. Com) (Doctoral dissertation, Swiss German University).

Weinstein, A. (2013). Handbook of market segmentation: Strategic targeting for business and technology firms. Routledge.

Wijaya, I., Rai, A., & Hariguna, T. (2019). The impact of customer experience on customer behavior intention use in social media commerce, an extended expectation confirmation model: An empirical study. Management Science Letters, 9(12).




DOI: https://doi.org/10.46336/ijbesd.v4i1.367

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